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Introduction: Hypertrophic cardiomyopathy (HCM) is the most prevalent inherited cardiac disease. The impact of HCM on quality of life (QoL) and societal costs remains poorly understood. This prospective multi-centre burden of disease study estimated QoL and societal costs of genotyped HCM patients and genotype-positive phenotype-negative (G+/P-) subjects., Methods: Participants were categorized into three groups based on genotype and phenotype: 1) G+/P- (left ventricular (LV) wall thickness <13 mm), 2) non-obstructive HCM (nHCM, LV outflow tract (LVOT) gradient <30 mmHg), and 3) obstructive HCM (oHCM, LVOT gradient ≥30 mmHg). We assessed QoL with EQ-5D-5L and Kansas City Cardiomyopathy Questionnaires (KCCQ). Societal costs were measured using medical consumption (iMCQ) and productivity cost (iPCQ) questionnaires. We performed subanalyses within three age groups: <40, 40-59, and ≥60 years., Results: From three Dutch hospitals, 506 subjects were enrolled (84 G+/P-, 313 nHCM, 109 oHCM; median age 59 years, 39% female). HCM (both nHCM and oHCM) patients reported reduced QoL vs G+/P- subjects (KCCQ: 88 vs 98, EQ-5D-5L: 0.88 vs 0.96; both p<0.001). oHCM patients reported lower KCCQ scores than nHCM patients (83 vs 89, p=0.036). Societal costs were significantly higher in HCM patients (€19,035/year vs €7,385/year) compared to G+/P- controls, mainly explained by higher healthcare costs and productivity losses. Being symptomatic and of younger age (<60 years) particularly led to decreased QoL and increased costs., Conclusion: HCM is associated with decreased QoL and increased societal costs, especially in younger and symptomatic patients. oHCM patients were more frequently symptomatic than nHCM patients. This study highlights the substantial disease burden of HCM and can aid in assessing new therapy cost-effectiveness for HCM in the future., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Aims: Recently, a genetic variant-specific prediction model for phospholamban (PLN) p.(Arg14del)-positive individuals was developed to predict individual major ventricular arrhythmia (VA) risk to support decision-making for primary prevention implantable cardioverter defibrillator (ICD) implantation. This model predicts major VA risk from baseline data, but iterative evaluation of major VA risk may be warranted considering that the risk factors for major VA are progressive. Our aim is to evaluate the diagnostic performance of the PLN p.(Arg14del) risk model at 3-year follow-up., Methods and Results: We performed a landmark analysis 3 years after presentation and selected only patients with no prior major VA. Data were collected of 268 PLN p.(Arg14del)-positive subjects, aged 43.5 ± 16.3 years, 38.9% male. After the 3 years landmark, subjects had a mean follow-up of 4.0 years (± 3.5 years) and 28 (10%) subjects experienced major VA with an annual event rate of 2.6% [95% confidence interval (CI) 1.6-3.6], defined as sustained VA, appropriate ICD intervention, or (aborted) sudden cardiac death. The PLN p.(Arg14del) risk score yielded good discrimination in the 3 years landmark cohort with a C-statistic of 0.83 (95% CI 0.79-0.87) and calibration slope of 0.97., Conclusion: The PLN p.(Arg14del) risk model has sustained good model performance up to 3 years follow-up in PLN p.(Arg14del)-positive subjects with no history of major VA. It may therefore be used to support decision-making for primary prevention ICD implantation not merely at presentation but also up to at least 3 years of follow-up., Competing Interests: Conflict of interest: The UMCG, which employs several of the authors, has received research grants and/or fees from AstraZeneca, Abbott, Boehringer Ingelheim, Cardior Pharmaceuticals GmbH, Ionis Pharmaceuticals, Inc., Novo Nordisk, and Roche. R.A.deB. has had speaker engagements with Abbott, AstraZeneca, Bayer, Bristol Myers Squibb, Novartis, and Roche. T.G. has had speaker engagements with Bristol Myers Squibb. M.Y.C.vd.H. and A.A.M.W. report grants from PLN foundation, grants from CVON Netherlands Heart Foundation (PREDICT2) and ZonMw (PSIDER-Heart) during this study., (© The Author(s) 2024. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Aims: Risk assessment tools are needed for timely identification of patients with heart failure (HF) with reduced ejection fraction (HFrEF) who are at high risk of adverse events. In this study, we aim to derive a small set out of 4210 repeatedly measured proteins, which, along with clinical characteristics and established biomarkers, carry optimal prognostic capacity for adverse events, in patients with HFrEF., Methods and Results: In 382 patients, we performed repeated blood sampling (median follow-up: 2.1 years) and applied an aptamer-based multiplex proteomic approach. We used machine learning to select the optimal set of predictors for the primary endpoint (PEP: composite of cardiovascular death, heart transplantation, left ventricular assist device implantation, and HF hospitalization). The association between repeated measures of selected proteins and PEP was investigated by multivariable joint models. Internal validation (cross-validated c -index) and external validation (Henry Ford HF PharmacoGenomic Registry cohort) were performed. Nine proteins were selected in addition to the MAGGIC risk score, N-terminal pro-hormone B-type natriuretic peptide, and troponin T: suppression of tumourigenicity 2, tryptophanyl-tRNA synthetase cytoplasmic, histone H2A Type 3, angiotensinogen, deltex-1, thrombospondin-4, ADAMTS-like protein 2, anthrax toxin receptor 1, and cathepsin D. N-terminal pro-hormone B-type natriuretic peptide and angiotensinogen showed the strongest associations [hazard ratio (95% confidence interval): 1.96 (1.17-3.40) and 0.66 (0.49-0.88), respectively]. The multivariable model yielded a c -index of 0.85 upon internal validation and c -indices up to 0.80 upon external validation. The c -index was higher than that of a model containing established risk factors ( P = 0.021)., Conclusion: Nine serially measured proteins captured the most essential prognostic information for the occurrence of adverse events in patients with HFrEF, and provided incremental value for HF prognostication beyond established risk factors. These proteins could be used for dynamic, individual risk assessment in a prospective setting. These findings also illustrate the potential value of relatively 'novel' biomarkers for prognostication., Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT01851538?term=nCT01851538&draw=2&rank=1 24., Competing Interests: Conflict of interest: R.O. is employed by Somalogic Inc. D.L. reports non-financial support from Somalogic Inc., during the conduct of the study; grants and personal fees from Janssen, personal fees from Ortho Diagnostics, personal fees from DCRI (Novartis), grants from Bayer, grants from Astra Zeneca, grants from Critical Diagnostics, non-financial support from Somalogic, grants from Lilly, personal fees from ACI (Abbott Laboratories), personal fees from Martin Pharmaceuticals, personal fees from Illumina, personal fees from Vicardia, other from Hridaya, grants and personal fees from Amgen, personal fees from Cytokinetics, outside the submitted work. In addition, D.L. has a patent genomic predictors of BB response issued. The other authors have no disclosures to report., (© The Author(s) 2023. Published by Oxford University Press on behalf of the European Society of Cardiology.)

Purpose: Multiple hormonal and metabolic alterations occur in chronic heart failure (CHF), but their proper monitoring during clinically silent progression of CHF remains challenging. Hence, our objective was to explore whether temporal patterns of six emerging cardiometabolic biomarkers predict future adverse clinical events in stable patients with CHF., Methods: In 263 patients with CHF, we determined the risk of a composite end point of heart failure hospitalization, cardiac death, left ventricular assist device implantation, and heart transplantation in relation to serially assessed blood biomarker levels and slopes (i.e., rate of biomarker change per year). During 2.2 years of follow-up, we repeatedly measured IGF binding proteins 1, 2, and 7 (IGFBP-1, IGFBP-2, IGFBP-7), adipose fatty acid binding protein 4 (FABP-4), resistin, and chemerin (567 samples in total)., Results: Serially measured IGFBP-1, IGFBP-2, IGFBP-7, and FABP-4 levels predicted the end point [univariable hazard ratio (95% CI) per 1-SD increase: 3.34 (2.43 to 4.87), 2.86 (2.10 to 3.92), 2.45 (1.91 to 3.13), and 2.46 (1.88 to 3.24), respectively]. Independently of the biomarkers' levels, their slopes were also strong clinical predictors [per 0.1-SD increase: 1.20 (1.11 to 1.31), 1.27 (1.14 to 1.45), 1.23 (1.11 to 1.37), and 1.27 (1.12 to 1.48)]. All associations persisted after multivariable adjustment for patient baseline characteristics, baseline N-terminal pro-hormone brain natriuretic peptide and cardiac troponin T, and pharmacological treatment during follow-up., Main Conclusions: The temporal patterns of IGFBP-1, IGFBP-2, IGFBP-7, and adipose FABP-4 predict adverse clinical outcomes during outpatient follow-up of patients with CHF and may be clinically relevant as they could help detect more aggressive CHF forms and assess patient prognosis, as well as ultimately aid in designing more effective biomarker-guided therapy.

Aims: To assess the diagnostic outcomes of a multidisciplinary pathway for elderly syncope patients., Methods and Results: Observational cohort study at a Fall and Syncope Clinic, including consecutive syncope patients aged ≥65 years between 2011 and 2014. Measurements: The sort, number, and accuracy of diagnoses resulting in syncope. Secondary outcomes: reliability of the medical history and the number of electrocardiogram (ECG) abnormalities. The 117 included patients (72% females) had a mean age of 80 ± 6.5 years and a mean of 11 ± 5 (mainly cardiovascular) comorbidities. We found 212 contributing diagnoses. Symptomatic orthostatic/postprandial hypotension was present in 45%, cardiac causes in 44% (rhythm or conduction disorders 24%, aortic stenosis 4%, cardiomyopathies 2%, suspected cardiac causes 15%), and reflex syncope in 21%; 6% remained without any explanation. The diagnosis of the cause of syncope was uncertain in 34.2%, probable in 15.4%, and definite/most likely in 50.4%. Cognitive impaired patients were less likely to give a reliable medical history regarding their syncope (72% vs. 98% in cognitive intact patients, P = 0.001). In only 25% of patients a useful eyewitness account was available. 64% of ECGs showed relevant abnormalities; 26% was suggestive of cardiac syncope, of which 20% showed an indication for device implantation., Conclusion: The majority of our elderly syncope patients had multiple contributing factors, often in addition to their primary diagnosis. Orthostatic/postprandial hypotension and cardiac disorders were the most frequent. Using a multidisciplinary approach, one or more possible explanations for the syncope were found in 94% of patients, with a definite diagnosis in 50%.

Aims: The pathophysiology underlying aortic valve stenosis (AVS)-induced cardiac dysfunction and reduced exercise capacity is unclear. We hypothesize that improvement of myocardial external efficiency (MEE)--the ratio between external work and myocardial oxygen consumption (MVO2)--underlies functional improvement of AVS patients after aortic valve replacement (AVR). Therefore, the aim of this proof-of-concept study was to investigate whether myocardial efficiency is reduced in patients with cardiac hypertrophy caused by AVS and to assess the effect of AVR on myocardial efficiency in relation to exercise capacity., Methods and Results: Echocardiography, cardiopulmonary exercise test, [(11)C]-acetate positron emission tomography and cardiovascular magnetic resonance imaging were performed in 10 AVS patients prior to (pre-AVR) and 4 months after AVR (post-AVR). Fourteen healthy individuals served as control group. MEE was significantly lower in pre-AVR patients (32 ± 7%) than in controls (49 ± 6%). AVR significantly decreased left ventricle mass and MVO2. Also, external work significantly decreased post-AVR reaching similar values as in controls. AVR significantly improved MEE from 32 ± 7 to 37 ± 5% (P = 0.02). Moreover, significant correlations were present between the AVR-induced increase in MEE and changes in both exercise work (r = 0.74, P = 0.01) and peak VO2 (r = 0.67, P = 0.03). However, four AVS patients did not show improved MEE, which was associated with no or minimal improvement in exercise parameters., Conclusion: MEE is significantly reduced in patients with AVS-induced hypertrophy. Improved MEE is an important predictor of AVR-induced improvement of exercise capacity in AVS patients. Future investigation is needed to confirm our observations in a large prospective, multicenter clinical trial., (Published on behalf of the European Society of Cardiology. All rights reserved. © The Author 2015. For permissions please email: journals.permissions@oup.com.)

Aims: Crypts can be found with cardiovascular magnetic resonance imaging (CMR) in hypertrophic cardiomyopathy (HCM) mutation carriers without hypertrophy (carriers) using a modified two-chamber view through the inferoseptum, but also in other patients and healthy individuals with standard long-axis views. Since it is currently unknown if carriers display a specific crypt morphology, we compared crypts in carriers with other cardiac pathologies (controls). Besides, we aimed to determine the optimal imaging plane for the detection of crypts by comparing modified two-chamber views with standard long-axis views. Finally, we evaluated the accuracy of crypts to identify carriers in HCM family screening., Methods and Results: Standard CMR long-axis views with additional modified two-chamber views were prospectively performed in carriers (n= 43), consecutive CMR control patients (n= 252), and mutation-negative family members (n= 15). Crypts were found in 70% (30/43) of carriers and in 12% (31/252) of controls (P< 0.001). Crypts in carriers showed deeper penetrance into the myocardium compared with controls (74 ± 21% vs. 59 ± 22%, P< 0.01). Detection of two or more crypts had a sensitivity of 51% and specificity of 94% for carriership. Modified two-chamber views doubled the sensitivity to detect crypts compared with standard long-axis views. In family screening, ≥2 crypts had a 100% positive predictive value to identify carriers., Conclusions: Multiple crypts in the absence of left ventricular hypertrophy are highly specific for HCM mutation carriership and warrant clinical follow-up. A modified two-chamber view has a superior sensitivity compared with standard long-axis views for crypt detection. CMR may be of additional value to identify carriers in family screening.